2 citations · 3 across the 3 of their papers we have counts for
3 papers
A practical probabilistic framework for deformable image registration uncertainty in radiotherapy dose propagation
Stefan Heldmann, Sven Kuckertz, Nasim Givehchi +4
Deformable image registration (DIR) is widely used in radiotherapy for dose propagation and accumulation, but uncertainty in the underlying deformation can substantially affect cli…
Learn2Reg: comprehensive multi-task medical image registration challenge, dataset and evaluation in the era of deep learning
Alessa Hering, Lasse Hansen, Tony C. W. Mok +50
Image registration is a fundamental medical image analysis task, and a wide variety of approaches have been proposed. However, only a few studies have comprehensively compared medi…
Enhancing Label-Driven Deep Deformable Image Registration with Local Distance Metrics for State-of-the-Art Cardiac Motion Tracking
Alessa Hering, Sven Kuckertz, Stefan Heldmann +1
While deep learning has achieved significant advances in accuracy for medical image segmentation, its benefits for deformable image registration have so far remained limited to red…